Video classified rapid identification method and device
A video classification and video technology, applied in the field of computer vision, can solve the time-consuming problems of content recognition, achieve the effect of meeting real-time processing requirements, strong usability and practicality, and improving the ability of content recognition
Active Publication Date: 2016-03-23
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF3 Cites 19 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] In view of this, the embodiment of the present invention provides a method and device for fast identification of video classification to solve the problem of time-consuming identification of content in video in the prior art
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0023] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
[0024] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.
[0025] see figure 1 , figure 1 It shows the implementation flow of the method for fast identification of video classification provided by the embodiment of the present invention, and the method is applicable to various terminal devices, such as personal computers, tab...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention is suitable for the technical field of computer vision, and provides a video classified rapid identification method and device. The method comprises the steps that a video to be tested is acquired, and movement vectors and original RGB images are extracted from the video code stream of the video to be tested; the movement vectors are converted into movement vector images; the original RGB images are inputted to a preset convolution neural network based on the RGB images so as to acquire classification category confidence based on RGB; the movement vector images are inputted to a preset enhanced convolution neural network based on the movement vectors so as to acquire the classification category confidence based on the movement vectors; the classification category confidence based on the RGB and the classification category confidence based on the movement vectors are integrated so as to acquire the classification category confidence of the video to be tested; and the category corresponding to an item of the highest score in the classification category confidence of the video to be tested acts as the category corresponding to the content in the video to be tested. Efficiency of video classified identification can be effectively enhanced by the video classified rapid identification method and device.
Description
technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method and device for fast identification of video classification. Background technique [0002] Content recognition technology in video is widely used in video surveillance, retrieval, human-computer interaction and other fields. In recent years, feature extraction methods based on dense trajectories and methods based on dual neural networks (ie image deep network and optical flow deep network) have shown better action recognition capabilities. However, although the feature extraction method based on dense trajectories and the method based on dual neural networks can effectively improve the accuracy of action recognition, since both the feature extraction method based on dense trajectories and the method based on dual neural networks need to calculate optical flow (Opticalflow ) information, and the calculation of optical flow information is very time-cons...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06K9/00
CPCG06V20/41
Inventor 乔宇张博文
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI